How can I compare an effect of one independent ordinal variable in two partial proportional odds models fitted with the gologit2 command?

Two models with different dependent variables are fitted (gologit2 with autofit option). I now want to test if one independent variable (an ordinal variable with 3 categories) has a stronger effect in one model compared to the other model.

Therefore I used the suest command:

“suest m1 m2”

“test [m1_panel1]1.independetvar = [m2_panel1]1.independetvar”

Is there a way I can compare the impact of the independent variable without addressing the single categories of the variable? For example like this:

“test [m1_panel1]independetvar = [m2_panel1]independetvar” (doesn't work)

Or is there another way I can compare for stronger effect of a variable in gologit2 models with different dependent variables?

Two models with different dependent variables are fitted (gologit2 with autofit option). I now want to test if one independent variable (an ordinal variable with 3 categories) has a stronger effect in one model compared to the other model.

Therefore I used the suest command:

“suest m1 m2”

“test [m1_panel1]1.independetvar = [m2_panel1]1.independetvar”

Is there a way I can compare the impact of the independent variable without addressing the single categories of the variable? For example like this:

“test [m1_panel1]independetvar = [m2_panel1]independetvar” (doesn't work)

Or is there another way I can compare for stronger effect of a variable in gologit2 models with different dependent variables?

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